Development of a novel benchmark method to identify and characterize best practices in home care across six European countries: design, baseline, and rationale of the IBenC project.

BACKGROUND: Europe's ageing society leads to an increased demand for long-term care, thereby putting a strain on the sustainability of health care systems. The 'Identifying best practices for care-dependent elderly by Benchmarking Costs and outcomes of Community Care' (IBenC) project aims to develop a new benchmark methodology based on quality of care and cost of care utilization to identify best practices in home care. The study's baseline data, methodology, and rationale are reported. METHODS: Home care organizations in Belgium, Finland, Germany, Iceland, Italy, and the Netherlands, home care clients of 65 years and over receiving home care, and professionals working in these organizations were included. Client data were collected according to a prospective longitudinal design with the interRAI Home Care instrument. Assessments were performed at baseline, after six and 12 months by trained (research) nurses. Characteristics of home care organizations and professionals were collected cross-sectionally with online surveys. RESULTS: Thirty-eight home care organizations, 2884 home care clients, and 1067 professionals were enrolled. Home care clients were mainly female (66.9%), on average 82.9 years (± 7.3). Extensive support in activities of daily living was needed for 41.6% of the sample, and 17.6% suffered cognitive decline. Care professionals were mainly female (93.4%), and over 45 years (52.8%). Considerable country differences were found. CONCLUSION: A unique, international, comprehensive database is established, containing in-depth information on home care organizations, their clients and staff members. The variety of data enables the development of a novel cost-quality benchmark method, based on interRAI-HC data. This benchmark can be used to explore relevant links between organizational efficiency and organizational and staff characteristics.

Substantial between-country differences in organising community care for older people in Europe-a review.

BACKGROUND: The European population is aging. The main drivers of public spending on health care for people of 65 years and older are hospital admission and admission to long-term care facilities. High quality community care can be a cost-effective and quality solution to respond to the impact of ageing populations on health-care systems. It is unclear how well countries are equipped to provide affordable and quality community care. The aim of this article is to describe and compare community care delivery with care-dependent older people in Europe. METHODS: This study is conducted within the European Union-financed IBenC project [Identifying best practices for care-dependent elderly byBenchmarkingCosts and outcomes of community care (FP7)] in which six European countries are involved. To compare the community care delivery with care-dependent older people in these countries, we performed a systematic comparison of macro indicators using metadata complemented with data from multinational surveys. RESULTS: Data on the following dimensions are described and compared: population of the country, governmental expenditures on health, sources of community health services funding, governmental vision and regulation on community care, community care organisations and care professionals, eligibility criteria for and equity in receiving care and the involvement of informal care. CONCLUSION: : Because of the variations in the European community care contexts, the growing demand for community care as a cost-effective and quality solution to the care burden of aging populations will have country-specific impacts. When learning from other countries' best practices, in addition to researchers, policy makers should take full account of local and national care contexts.

Convergent validity of the interRAI-HC for societal costs estimates in comparison with the RUD Lite instrument in community dwelling older adults.

BACKGROUND: The interRAI-Home Care (interRAI-HC) instrument is commonly used in routine care to assess care and service needs, resource utilisation and health outcomes of community dwelling home care clients. Potentially, the interRAI-HC can also be used to calculate societal costs in economic evaluations. The purpose of this study was to assess the convergent validity of the interRAI-HC instrument in comparison with the RUD Lite instrument for the calculation of societal costs among care-dependent community dwelling older adults. METHODS: A within-subject design was used. Participants were 65 years and older and received professional community care in five countries. The RUD Lite was administered by trained (research) nurses or self-reports within 4 weeks after the interRAI-HC assessment. Agreement between the interRAI-HC and RUD Lite estimates was assessed using Spearman's correlation coefficients. We hypothesised that there was strong correlation (Spearman's ρ > 0.5) between resource utilisation estimates, costs of care estimates and total societal cost estimates derived from both instruments. RESULTS: Strong correlation was found between RUD Lite and interRAI-HC resource utilisation assessments for eight out of ten resource utilisation items. Total societal costs according to the RUD Lite were statistically significantly lower than according to the interRAI-HC (mean difference €-804, 95 % CI -1340; -269). The correlation between the instruments for total societal costs and all six cost categories was strong. CONCLUSIONS: The interRAI-HC has good convergent validity as compared with the RUD-Lite instrument to estimate societal cost of resource utilisation in community dwelling older adults. Since interRAI-HC assessments are part of routine care in many community care organisations and countries already, this finding may increase the feasibility of performing economic evaluations among community dwelling older adults.

Clinical presentation, pathological features and natural course of metastatic uveal melanoma, an orphan and commonly fatal disease.

BACKGROUND: Uveal melanoma (UM) is a rare disease characterized by an unpredictable course and a variable outcome. We assessed the natural course of patients with metastatic uveal melanoma (MUM). METHODS: Data from 76 patients with MUM who were treated in Leuven between 1957 and 2008 were examined retrospectively. Statistical analysis involved the nonparametric, Kaplan-Meier and log rank tests. RESULTS: The median age at diagnosis of UM was 58 years (range 30-94). Synchronous metastases were found in 9% of the cases; all other patients had metachronous disease after a median interval of 40 months (range 7-420). Statistical analysis failed to identify factors related to the time until metastatic spread with the exception of a significant negative correlation with age at UM diagnosis (Spearman: ρ = -0.4, p < 0.001). The most frequent metastatic site was the liver (in 96% of the patients). The median time from diagnosis of UM until death was 47 months (range 2-236) and only 5 months in patients with metastatic disease (range 1-128). CONCLUSIONS: MUM is an orphan disease. Advances in MUM can only be achieved by the networking of sites interested in this rare tumor type, with systematic collection of data and tumor tissue for improving our understanding of the molecular biology of this disease.

Organizational home care models across Europe: A cross sectional study.

BACKGROUND: Decision makers are searching for models to redesign home care and to organize health care in a more sustainable way. OBJECTIVES: The aim of this study is to identify and characterize home care models within and across European countries by means of structural characteristics and care processes at the policy and the organization level. DATA SOURCES: At the policy level, variables that reflected variation in health care policy were included based on a literature review on the home care policy for older persons in six European countries: Belgium, Finland, Germany, Iceland, Italy, and the Netherlands. At the organizational level, data on the structural characteristics and the care processes were collected from 36 home care organizations by means of a survey. Data were collected between 2013 and 2015 during the IBenC project. STUDY DESIGN: An observational, cross sectional, quantitative design was used. The analyses consisted of a principal component analysis followed by a hierarchical cluster analysis. RESULTS: Fifteen variables at the organizational level, spread across three components, explained 75.4% of the total variance. The three components made it possible to distribute home care organizations into six care models that differ on the level of patient-centered care delivery, the availability of specialized care professionals, and the level of monitoring care performance. Policy level variables did not contribute to distinguishing between home care models. CONCLUSIONS: Six home care models were identified and characterized. These models can be used to describe best practices.

Quality indicators for community care for older people: A systematic review.

BACKGROUND: Health care systems that succeed in preventing long term care and hospital admissions of frail older people may substantially save on their public spending. The key might be found in high-quality care in the community. Quality Indicators (QIs) of a sufficient methodological level are a prerequisite to monitor, compare, and improve care quality. This systematic review identified existing QIs for community care for older people and assessed their methodological quality. METHODS: Relevant studies were identified by searches in electronic reference databases and selected by two reviewers independently. Eligible publications described the development or application of QIs to assess the quality of community care for older people. Information about the QIs, the study sample, and specific setting was extracted. The methodological quality of the QI sets was assessed with the Appraisal of Indicators through Research and Evaluation (AIRE) instrument. A score of 50% or higher on a domain was considered to indicate high methodological quality. RESULTS: Searches resulted in 25 included articles, describing 17 QI sets with 567 QIs. Most indicators referred to care processes (80%) and measured clinical issues (63%), mainly about follow-up, monitoring, examinations and treatment. About two-third of the QIs focussed on specific disease groups. The methodological quality of the indicator sets varied considerably. The highest overall level was achieved on the domain 'Additional evidence, formulation and usage' (51%), followed by 'Scientific evidence' (39%) and 'Stakeholder involvement' (28%). CONCLUSION: A substantial number of QIs is available to assess the quality of community care for older people. However, generic QIs, measuring care outcomes and non-clinical aspects are relatively scarce and most QI sets do not meet standards of high methodological quality. This study can support policy makers and clinicians to navigate through a large number of QIs and select QIs for their purposes. PROSPERO Registration: 2014:CRD42014007199.

Quality of Care and Job Satisfaction in the European Home Care Setting: Research Protocol.

INTRODUCTION: Since the European population is ageing, a growing number of elderly will need home care. Consequently, high quality home care for the elderly remains an important challenge. Job satisfaction among care professionals is regarded as an important aspect of the quality of home care. AIM: This paper describes a research protocol to identify elements that have an impact on job satisfaction among care professionals and on quality of care for older people in the home care setting of six European countries. METHODS: Data on elements at the macro-level (policy), meso-level (care organisations) and micro-level (clients) are of importance in determining job satisfaction and quality of care. Macro-level indicators will be identified in a previously published literature review. At meso- and micro-level, data will be collected by means of two questionnaires utilsed with both care organisations and care professionals, and by means of interRAI Home Care assessments of clients. The client assessments will be used to calculate quality of care indicators. Subsequently, data will be analysed by means of linear and stepwise multiple regression analyses, correlations and multilevel techniques. CONCLUSIONS AND DISCUSSION: These results can guide health care policy makers in their decision making process in order to increase the quality of home care in their organisation, in their country or in Europe.